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Fisiología vegetal
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39021por Gomes, Simone A., Paula, Adriano R., Ribeiro, Anderson, Moraes, Catia O. P., Santos, Jonathan W. A. B., Silva, Carlos P., Samuels, Richard I.“…Neem had no effect on conidial germination or fungal vegetative growth in vitro. Larval survival rates were reduced to 24 % (S(50) = 3 days) when using 1 × 10(9) conidia mL(−1). …”
Publicado 2015
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39022por Despres, Jordane, Forano, Evelyne, Lepercq, Pascale, Comtet-Marre, Sophie, Jubelin, Grégory, Yeoman, Carl J., Miller, Margret E. Berg, Fields, Christopher J., Terrapon, Nicolas, Le Bourvellec, Carine, Renard, Catherine M.G.C., Henrissat, Bernard, White, Bryan A., Mosoni, Pascale“…Pectin is a highly consumed dietary fibre found in fruits and vegetables and is also a widely used additive in the food industry. …”
Publicado 2016
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39023por Rolfe, Stephen A., Strelkov, Stephen E., Links, Matthew G., Clarke, Wayne E., Robinson, Stephen J., Djavaheri, Mohammad, Malinowski, Robert, Haddadi, Parham, Kagale, Sateesh, Parkin, Isobel A. P., Taheri, Ali, Borhan, M. Hossein“…Pb3 is highly virulent on B. napus (but also infects other Brassica species) while Pb6 infects only vegetable Brassica crops. Both the Pb3 and Pb6 genomes are highly compact, each with a total size of 24.2 Mb, and contain less than 2 % repetitive DNA. …”
Publicado 2016
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39024por Fjeldsoe, Brianna S, Goode, Ana D, Phongsavan, Philayrath, Bauman, Adrian, Maher, Genevieve, Winkler, Elisabeth, Eakin, Elizabeth G“…Primary outcomes of body weight, waist circumference, physical activity (walking, moderate, and vigorous sessions/week), and dietary behaviors (fruit and vegetable serves/day, cups of sweetened drinks per day, takeaway meals per week; fat, fiber and total indices from the Fat and Fiber Behavior Questionnaire) were assessed via self-report before (baseline) and after (6-months) extended contact (with moderate-vigorous physical activity (MVPA) also assessed via accelerometry). …”
Publicado 2016
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39025por Aimone, Ashley M., Brown, Patrick E., Zlotkin, Stanley H., Cole, Donald C., Owusu-Agyei, Seth“…In Model 5, all infection definitions that included parasitaemia demonstrated a significant interaction between normalized difference vegetation index and land cover type. Maps of the predicted infection probabilities and spatial random effect showed defined high- and low-risk areas that tended to coincide with elevation and cluster around villages. …”
Publicado 2016
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39026“…RESULTS: The gene expression profiling revealed that the abundance of single gene-derived SAPK9 transcript was significantly higher in drought-tolerant rice genotypes than the drought-sensitive ones, and its expression was comparatively greater in reproductive stage than the vegetative stage. The highest expression of SAPK9 gene in drought-tolerant Oryza rufipogon prompted us to clone and characterise the CDS of this allele in details. …”
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39027por Thiering, Elisabeth, Markevych, Iana, Brüske, Irene, Fuertes, Elaine, Kratzsch, Jürgen, Sugiri, Dorothea, Hoffmann, Barbara, von Berg, Andrea, Bauer, Carl-Peter, Koletzko, Sibylle, Berdel, Dietrich, Heinrich, Joachim“…Generalized additive models were used to determine the association of individual satellite-derived greenness defined by the Normalized Difference Vegetation Index (NDVI), long-term air pollution exposure estimated by land-use regression (LUR) models with insulin resistance (HOMA-IR) in 15-year-old adolescents. …”
Publicado 2016
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39028por Karupaiah, Tilakavati, Chuah, Khun-Aik, Chinna, Karuthan, Matsuoka, Ryosuke, Masuda, Yasunobu, Sundram, Kalyana, Sugano, Michihiro“…BACKGROUND: Mayonnaise is used widely in contemporary human diet with widespread use as a salad dressing or spread on breads. Vegetable oils used in its formulation may be a rich source of ω-6 PUFAs and the higher-PUFA content of mayonnaise may be beneficial in mediating a hypocholesterolemic effect. …”
Publicado 2016
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39029por Tian, Hanqin, Lu, Chaoqun, Yang, Jia, Banger, Kamaljit, Huntzinger, Deborah N., Schwalm, Christopher R., Michalak, Anna M., Cook, Robert, Ciais, Philippe, Hayes, Daniel, Huang, Maoyi, Ito, Akihiko, Jain, Atul K., Lei, Huimin, Mao, Jiafu, Pan, Shufen, Post, Wilfred M., Peng, Shushi, Poulter, Benjamin, Ren, Wei, Ricciuto, Daniel, Schaefer, Kevin, Shi, Xiaoying, Tao, Bo, Wang, Weile, Wei, Yaxing, Yang, Qichun, Zhang, Bowen, Zeng, Ning“…The modeled SOC change during 1901–2010 ranges from −70 Pg C to 86 Pg C, but in some models the SOC change has a different sign from the change of total C stock, implying very different contribution of vegetation and soil pools in determining the terrestrial C budget among models. …”
Publicado 2015
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39030por Flynn, Angela C., Seed, Paul T., Patel, Nashita, Barr, Suzanne, Bell, Ruth, Briley, Annette L., Godfrey, Keith M., Nelson, Scott M., Oteng-Ntim, Eugene, Robinson, Sian M., Sanders, Thomas A., Sattar, Naveed, Wardle, Jane, Poston, Lucilla, Goff, Louise M.“…RESULTS: Four distinct baseline dietary patterns were defined; Fruit and vegetables, African/Caribbean, Processed, and Snacks, which were differently associated with social and demographic factors. …”
Publicado 2016
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39031por do Valle Nascimento, Thais Moura Ribeiro, Resnicow, Ken, Nery, Marcia, Brentani, Alexandra, Kaselitz, Elizabeth, Agrawal, Pooja, Mand, Simanjit, Heisler, Michele“…They reported increases in physical activity (p = .001), consumption of fruits and vegetables (p < .001) and medication adherence (p = .002), but no decreases in consumption of high-fat foods (p = .402) or sweets (p = .436). …”
Publicado 2017
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39032por Economos, Christina D., Anzman-Frasca, Stephanie, Koomas, Alyssa H., Chan, Grace, Folta, Sara C., Heck, Julianne, Newman, Molly, Sacheck, Jennifer M.“…Criteria were developed a priori with the intent to capture co-occurring practices that together indicate healthy snack (fruits and vegetables or no snack over salty/sweet snacks); beverage (water over sugar-sweetened beverages); and PA environments (regular opportunities for >15 or 45 min of PA in enrichment and sports programs, respectively). …”
Publicado 2017
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39033por Drehmer, Michele, Odegaard, Andrew O., Schmidt, Maria Inês, Duncan, Bruce B., Cardoso, Letícia de Oliveira, Matos, Sheila M. Alvim, Molina, Maria del Carmen B., Barreto, Sandhi M., Pereira, Mark A.“…Diet, light foods and beverages/low fat dairy pattern was associated with more prevalence of both outcomes, and higher fasting glucose, HDL-C, waist circumference (among men) and lower blood pressure. Vegetables/fruit dietary pattern did not protect against metabolic syndrome and newly diagnosed diabetes but was associated with lower waist circumference. …”
Publicado 2017
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39034por Agarwal, G., Angeles, R., Pirrie, M., Marzanek, F., McLeod, B., Parascandalo, J., Dolovich, L.“…Many had low physical activity (42%), high fat intake (33%), low fruit/vegetable intake (30%), and were current smokers (29%). …”
Publicado 2017
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39035“…At the 6-month follow-up visit, compared to participants in the control group, the mobile phone-based intervention participants had significant improvement in BMI (z=–4.37, P=.001), diastolic blood pressure (z=–3.23, P=.001), physical activity days per week (z=2.58, P=.01), TV and computer time (z=–3.34, P=.001), servings of fruits and vegetables per day (z=2.74, P=.006), servings of soda and sweetened drinks (z=–3.19, P=.001), physical activity self-efficacy (z=2.75, P=.006), and dietary self-efficacy (z=5.05, P=.001). …”
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39036por Deschasaux, Mélanie, Julia, Chantal, Kesse-Guyot, Emmanuelle, Lécuyer, Lucie, Adriouch, Solia, Méjean, Caroline, Ducrot, Pauline, Péneau, Sandrine, Latino-Martel, Paule, Fezeu, Léopold K, Fassier, Philippine, Hercberg, Serge, Touvier, Mathilde“…One of the most documented candidates (Five-Colour Nutrition Label/Nutri-score) is based on the British Food Standards Agency Nutrient Profiling System (FSA-NPS), a score calculated for each food/beverage using the 100 g amount of energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits and vegetables. To assess its potential public health relevance, studies were conducted on the association between the nutritional quality of the diet, measured at the individual level by an energy-weighted mean of all FSA-NPS scores of foods usually consumed (FSA-NPS dietary index (FSA-NPS DI)), and the risk of chronic diseases. …”
Publicado 2017
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39037por Kakar, Kaleem U., Nawaz, Zarqa, Kakar, Khadija, Ali, Essa, Almoneafy, Abdulwareth A., Ullah, Raqeeb, Ren, Xue-liang, Shu, Qing-Yao“…However, the systematic identification, origin and function of this gene family has not been performed in Brassica oleracea, an important vegetable crop and genomic model organism. RESULTS: In present study, we identified 26 CNGC genes in B. oleracea genome, which are non-randomly localized on eight chromosomes, and classified into four major (I-IV) and two sub-groups (i.e., IV-a and IV-b). …”
Publicado 2017
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39038por Heo, Moonseong, Jimenez, Camille C., Lim, Jean, Isasi, Carmen R., Blank, Arthur E., Lounsbury, David W., Fredericks, Lynn, Bouchard, Michelle, Faith, Myles S., Wylie, Judith“…The HealthCorps students, but not the comparison students, had a significant increase for all knowledge domains except for the breakfast realm, and reported a greater number of significant behavior changes including fruit and vegetable intake and physical activities. CONCLUSIONS: The HealthCorps program was associated with reduced BMI z-score in overweight/obese and obese female adolescents, with enhanced health knowledge and behavior for both sexes. …”
Publicado 2018
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39039por Pinto, A., Alfadhel, M., Akroyd, R., Atik Altınok, Y., Bernabei, S. M., Bernstein, L., Bruni, G., Caine, G., Cameron, E., Carruthers, R., Cochrane, B., Daly, A., de Boer, F., Delaunay, S., Dianin, A., Dixon, M., Drogari, E., Dubois, S., Evans, S., Gribben, J., Gugelmo, G., Heidenborg, C., Hunjan, I., Kok, I. L., Kumru, B., Liguori, A., Mayr, D., Megdad, E., Meyer, U., Oliveira, R. B., Pal, A., Pozzoli, A., Pretese, R., Rocha, J. C., Rosenbaum-Fabian, S., Serrano-Nieto, J., Sjoqvist, E., Timmer, C., White, L., van den Hurk, T., van Rijn, M., Zweers, H., Ziadlou, M., MacDonald, A.“…This included restriction of: high sucrose foods only (n = 7 centres, 19%); fruit and sugary foods (n = 4, 11%); fruit, vegetables and sugary foods (n = 13, 36%). Twenty-five per cent of centres (n = 9), advised no dietary restrictions when patients were well. …”
Publicado 2018
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39040por Barstad, Lisa Ha, Júlíusson, Pétur B., Johnson, Line Kristin, Hertel, Jens Kristoffer, Lekhal, Samira, Hjelmesæth, Jøran“…Gender was associated with a number of lifestyle habits, as a larger proportions of boys had higher screen time (p = 0.032), more regular breakfast eating (p = 0.023), higher intake of sugar sweetened soda (p = 0.036), and lower intake of vegetables than girls (p = 0.011). By contrast, physical activity level and intake of fruit and berries did not differ between genders. …”
Publicado 2018
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